Hadoop Featured Articles
Twitter has become a platform for massive amounts of real-time updates for events, news, trends and stories. More than 400 million tweets are sent per day, and that number grows when there is breaking news or events - the recent Boston bombings are a testament to that.
Hadoop is a software framework that can be used to manage big data. It can also be used in the cloud to keep data flowing for companies and has the ability to produce a comprehensive report that incorporates data stored in countless records.
As enterprises today utilize cloud computing, social media, the Internet of Things, location-based services and mobile devices, they are struggling with how to manage, analyze and process this little thing called big data. To harness big data, enterprises are turning to Hadoop, an open-source framework that allows for distributed processing of large data sets across clusters of computers using simple programming models.
Hadoop may be good at big data analytics, but right now it has a more pedestrian use for the majority users: storage and ETL (extract, transform, load).
Video: MapR-Introducing M7
Video: Why MapR: The Most Advanced Distribution for Hadoop
Hadoop Industry News
Language Translation Software Markets
5/22/2013 1:38:53 PM
IBM Announces New Capabilities to Deliver Real-Time Analytics via the Cloud
5/22/2013 1:08:50 PM
Citrix Extends Enterprise Mobility Strategy with XenDesktop 7
5/22/2013 1:01:04 PM
Featured White Papers
What will make Hadoop and enterprise data center-grade analytics platform?
High Availability in the Hadoop Ecosystem: MapR provides high availability with no single points of failure across the entire stack.
The MapR Distribution for Apache™ Hadoop® provides high availability with no single points of failure across the entire stack. In the storage layer, MapR's Distributed NameNode HA™ architecture provides high availability with self-healing and support for multiple, simultaneous failures, with no additional hardware whatsoever.
MapR M7 Edition is a complete distribution for Apache Hadoop and HBase™ that includes Pig, Hive, Mahout, Cascading, Sqoop, Flume and more. The M7 Edition makes HBase™ easy, dependable and fast. M7 not only delivers enterprise grade features such as Instant Recovery, Snapshots and Mirroring but also provides consistent performance while eliminating architectural complexity.
Subscription software offering that includes features such as mirroring, snapshots, NFS HA, data placement control, and many more. The M5 Edition also offers full support, on-demand patches and online incident submission.